Build attractive, insightful, and powerful visualizations to gain
quality insights from your data Key Features Master Matplotlib for
data visualization Customize basic plots to make and deploy figures
in cloud environments Explore recipes to design various data
visualizations from simple bar charts to advanced 3D plots Book
DescriptionMatplotlib provides a large library of customizable
plots, along with a comprehensive set of backends. Matplotlib 3.0
Cookbook is your hands-on guide to exploring the world of
Matplotlib, and covers the most effective plotting packages for
Python 3.7. With the help of this cookbook, you'll be able to
tackle any problem you might come across while designing
attractive, insightful data visualizations. With the help of over
150 recipes, you'll learn how to develop plots related to business
intelligence, data science, and engineering disciplines with highly
detailed visualizations. Once you've familiarized yourself with the
fundamentals, you'll move on to developing professional dashboards
with a wide variety of graphs and sophisticated grid layouts in 2D
and 3D. You'll annotate and add rich text to the plots, enabling
the creation of a business storyline. In addition to this, you'll
learn how to save figures and animations in various formats for
downstream deployment, followed by extending the functionality
offered by various internal and third-party toolkits, such as
axisartist, axes_grid, Cartopy, and Seaborn. By the end of this
book, you'll be able to create high-quality customized plots and
deploy them on the web and on supported GUI applications such as
Tkinter, Qt 5, and wxPython by implementing real-world use cases
and examples. What you will learn Develop simple to advanced data
visualizations in Matplotlib Use the pyplot API to quickly develop
and deploy different plots Use object-oriented APIs for maximum
flexibility with the customization of figures Develop interactive
plots with animation and widgets Use maps for geographical plotting
Enrich your visualizations using embedded texts and mathematical
expressions Embed Matplotlib plots into other GUIs used for
developing applications Use toolkits such as axisartist,
axes_grid1, and cartopy to extend the base functionality of
Matplotlib Who this book is forThe Matplotlib 3.0 Cookbook is for
you if you are a data analyst, data scientist, or Python developer
looking for quick recipes for a multitude of visualizations. This
book is also for those who want to build variations of interactive
visualizations.
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